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Aiming at the problem of a substantial decrease in the traffic-carrying capacity of the road network caused by the breakage of the main roads after the disaster, this study constructs a bi-level programming model by the theory of traffic micro-circulation to alleviate the impact of disruptions. The upper model determines the roads constituting the traffic micro-circulation system and their traffic management measures, which maximizes the increase of traffic supply by using existing transport infrastructure; the lower model allocates traffic under the premise of the road geometry determined by the upper model; and the model solving algorithm is established by genetic algorithm. Finally, the road network of the New-Mart area in Daqing City, Heilongjiang Province, China, was taken as the research object for example analysis. The results showed that after the deployment of the traffic micro-circulation system, the average saturation of main roads was reduced from 0.99 to 0.75, the average saturation of the road network was reduced to 0.54, and the proposed method was able to maximize the operational efficiency of the road network after a disaster.
Gao et al. (Thu,) studied this question.